Douglas D Koch, Jack T Holladay, Kristian Naeser, Adi Abulafia, Li Wang, R Doyle Stulting, Thomas Kohnen
{"title":"Standards for Analyzing Astigmatic Outcomes II: Recommended statistical methods.","authors":"Douglas D Koch, Jack T Holladay, Kristian Naeser, Adi Abulafia, Li Wang, R Doyle Stulting, Thomas Kohnen","doi":"10.1097/j.jcrs.0000000000001645","DOIUrl":null,"url":null,"abstract":"<p><strong>Abstract: </strong>Surgically induced astigmatism (SIA) is the astigmatic component of the surgically induced refractive change. Vector prediction error (PE) is the key expression for evaluating refractive surgery, defined as the vector difference between the postoperatively observed refractive astigmatism and the refractive astigmatism predicted from the preoperative measurements. Astigmatic analysis of the SIA and PE includes both univariate and bivariate analyses. The magnitude of the refractive astigmatism is a predictor of visual function and a valuable component of astigmatic reporting. For vector metrics from bivariate analysis, data should be analyzed and displayed with double-angle plots. Vector calculations can be performed independent of or relative to a reference meridian or axis. Double-angle plots with convex polygons and statistical analysis for astigmatism data can be obtained easily with the wrap-up functions from the WHWK (Wilcox-Holladay-Wang-Koch) Statistical Software using the free software R Project for Statistical Computing or with Eyetemis software, which is also available online.</p>","PeriodicalId":15214,"journal":{"name":"Journal of cataract and refractive surgery","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of cataract and refractive surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/j.jcrs.0000000000001645","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPHTHALMOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract: Surgically induced astigmatism (SIA) is the astigmatic component of the surgically induced refractive change. Vector prediction error (PE) is the key expression for evaluating refractive surgery, defined as the vector difference between the postoperatively observed refractive astigmatism and the refractive astigmatism predicted from the preoperative measurements. Astigmatic analysis of the SIA and PE includes both univariate and bivariate analyses. The magnitude of the refractive astigmatism is a predictor of visual function and a valuable component of astigmatic reporting. For vector metrics from bivariate analysis, data should be analyzed and displayed with double-angle plots. Vector calculations can be performed independent of or relative to a reference meridian or axis. Double-angle plots with convex polygons and statistical analysis for astigmatism data can be obtained easily with the wrap-up functions from the WHWK (Wilcox-Holladay-Wang-Koch) Statistical Software using the free software R Project for Statistical Computing or with Eyetemis software, which is also available online.
期刊介绍:
The Journal of Cataract & Refractive Surgery (JCRS), a preeminent peer-reviewed monthly ophthalmology publication, is the official journal of the American Society of Cataract and Refractive Surgery (ASCRS) and the European Society of Cataract and Refractive Surgeons (ESCRS).
JCRS publishes high quality articles on all aspects of anterior segment surgery. In addition to original clinical studies, the journal features a consultation section, practical techniques, important cases, and reviews as well as basic science articles.